Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor
AbstractThis paper suggests a method of classifying Korean pop (K-pop) dances based on human skeletal motion data obtained from a Kinect sensor in a motion-capture studio environment. In order to accomplish this, we construct a K-pop dance database with a total of 800 dance-movement data points including 200 dance types produced by four professional dancers, from skeletal joint data obtained by a Kinect sensor. Our classification of movements consists of three main steps. First, we obtain six core angles representing important motion features from 25 markers in each frame. These angles are concatenated with feature vectors for all of the frames of each point dance. Then, a dimensionality reduction is performed with a combination of principal component analysis and Fisher’s linear discriminant analysis, which is called fisherdance. Finally, we design an efficient Rectified Linear Unit (ReLU)-based Extreme Learning Machine Classifier (ELMC) with an input layer composed of these feature vectors transformed by fisherdance. In contrast to conventional neural networks, the presented classifier achieves a rapid processing time without implementing weight learning. The results of experiments conducted on the constructed K-pop dance database reveal that the proposed method demonstrates a better classification performance than those of conventional methods such as KNN (K-Nearest Neighbor), SVM (Support Vector Machine), and ELM alone. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kim, D.; Kim, D.-H.; Kwak, K.-C. Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor. Sensors 2017, 17, 1261.
Kim D, Kim D-H, Kwak K-C. Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor. Sensors. 2017; 17(6):1261.Chicago/Turabian Style
Kim, Dohyung; Kim, Dong-Hyeon; Kwak, Keun-Chang. 2017. "Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor." Sensors 17, no. 6: 1261.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.